Giskard vs Robust Intelligence

Giskard is an open-source and enterprise platform for automated red-teaming and evaluation of AI models and LLM agents, detecting vulnerabilities like hallucinations, prompt injections, biases, and robustness issues through continuous scanning and test suites. It differentiates with black-box testing, collaborative workflows for business and technical teams, and integration of domain knowledge for exhaustive, domain-specific tests. Typical buyers are AI engineering, security, and data science teams at enterprises in finance, manufacturing, public sector, and defense deploying production AI systems. The platform supports compliance via GDPR, SOC 2 Type II, and HIPAA features, and was recognized in Gartner's 2023 Market Guide for AI Trust, Risk and Security Management.

Robust Intelligence was a San Francisco-based AI security company co-founded in 2019 by Harvard computer science professor Yaron Singer and Kojin Oshiba. The company pioneered the concept of an 'AI Firewall' — a purpose-built platform that validates, stress-tests, and protects AI models from development through production. Key capabilities included algorithmic red teaming, automated model assessment, and proactive AI risk mitigation aligned to OWASP and MITRE ATLAS standards. Robust Intelligence was acquired by Cisco in October 2024 for a reported $400M and has been foundational to the development of Cisco AI Defense and Cisco Foundation AI. Its technology is now integrated into the Cisco Security Cloud, providing threat protection against prompt injection, data poisoning, jailbreaking, and unintentional model outcomes. The company raised $44M prior to acquisition across three rounds.